• Design, develop, and implement solutions using Apex, Lightning Web Components (LWC), and Salesforce configurations. • Enhance and maintain existing Salesforce applications based on business requirements. • Work with api-driven integrations and knowledge of various Salesforce APIs. • Work with Salesforce managed/unmanaged packages, including customization and extensions where applicable. • Assist customers with installation, setup, and configuration of Salesforce packages. • Collaborate with cross-functional teams to understand requirements and deliver within timelines. • Troubleshoot issues and provide quick resolutions specially with managed packages. • Ensure adherence to best practices, code quality, and Salesforce governor limits. • Support deployment activities and ensure smooth releases.

Title: Senior Full Stack Software Engineer - Austin, TX Location: Austin United States Job Description: Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information across enterprises, governments, and consumers. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend harnesses AI to protect organizations and individuals across clouds, networks, devices, and endpoints. The Trend Vision One enterprise cybersecurity platform accelerates proactive security outcomes by predicting and preventing threats across the entire digital estate and environments like AWS, Google, Microsoft, and NVIDIA. Proactive security starts here. TrendMicro.com Location: This is a hybrid role based out of our Austin, TX office and requires in-office presence three days a week. Position Summary: TrendAI is seeking a Senior Full Stack Software Engineer to join the Zero Trust Secure Access (ZTSA) engineering team. In this role, you will design and build modern, scalable SaaS applications that power secure enterprise access services within the TrendAI Vision One platform. You will work across the full stack-from building intuitive web interfaces to developing cloud-native backend services that support identity-aware access control, policy management, and security platform services used by enterprise customers worldwide. This role is ideal for engineers who enjoy working on complex distributed systems, cloud-native architectures, and security-focused platforms while delivering high-quality user experiences. Key Responsibilities - Full Stack Development: - Develop backend APIs and services supporting multi-tenant SaaS security platforms. - Build modern web applications using React and Javascript - Implement scalable frontend and backend components for policy management, access control, and security services. - Collaborate with product managers and designers to deliver intuitive and high-quality user experiences. Cloud-Native & Distributed Systems: - Design and develop microservices-based architectures running on Kubernetes. - Build and operate services in AWS and Microsoft Azure environments. - Improve system scalability, reliability, and performance for globally deployed SaaS services. Security Platform Engineering: - Contribute to development of Zero Trust Secure Access (ZTSA) platform capabilities. - Implement secure service integrations, policy enforcement workflows, and identity-aware access logic. - Apply secure coding practices and ensure reliability in security-critical services. DevOps & Production Excellence: - Work with CI/CD pipelines to deliver production-ready services. - Troubleshoot and resolve production issues across frontend and backend components. - Implement logging, monitoring, and observability to improve system health and reliability. AI-Assisted Engineering: - Use modern AI-assisted development tools such as GitHub Copilot, Claude Code, or similar tools. - Explore opportunities to integrate AI-driven capabilities into security and platform services. Required Qualifications: - 5+ years of experience building modern web applications and backend services. - Strong experience with React and Javascript (or similar modern frontend frameworks). - Experience building backend services and REST APIs. - Experience working with microservices architectures. - Experience deploying applications in Kubernetes environments. - Experience working with AWS or Microsoft Azure cloud platforms. - Solid understanding of SaaS platform architecture and distributed systems. - Experience with CI/CD pipelines and DevOps workflows. Preferred Qualifications: - Experience working on security platforms or identity/access control systems. - Familiarity with Zero Trust architecture concepts. - Experience building large-scale enterprise SaaS platforms. - Experience using AI-assisted development tools. - Familiarity with observability tools such as Prometheus or Grafana. Why Join TrendAI? TrendAI is a leader in AI security. We not only delivered the first open-weight, cybersecurity-focused large language model, but also the industry's first security companion agent evaluated directly by customers. Trend Vision One integrates endpoint, cloud, network, email, identity, AI application, and data security into a single, unified platform. In this role, you will partner with business leaders to design systems that can reason, learn, and protect-accelerating agility, speed of delivery, and data-centric security. You will help transform cutting-edge research into real-world defense capabilities, protecting millions of users in the generative-AI agent era and enabling enterprises to stay ahead of evolving threats. What We Offer You: You're important to us. What matters to you, matters to us too. TrendAI provides benefit options for you and your family. - Comprehensive medical, dental and vision insurance - Life insurance - Short & Long Term Disability - Pre-partum, maternity, parental and medical leave - Mental Health Wellness Program - Adoption Assistance - Wellness Incentive - Pet Insurance - 401(k) with company match - Paid Time Off - 14 Annual Holidays - Tuition Assistance - Employee Resource Groups We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving work-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work. Be Passionate. Be Innovative. Be a Trender. #LI-MV1 At Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro provides equal employment opportunity for all applicants and employees. Trend Micro does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity.

Title: Staff / Senior Software Engineer, AI Reliability Location: San Francisco, CA | New York City, NY | Seattle, WA, United States Job Description: About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities: - Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity - Design and implement monitoring and observability systems across the token path - Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider - Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements - Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you: - Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs - Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet - Think holistically about how systems compose and where the seams are - Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions - Care about users and feel ownership over outcomes, even for systems you don't own - Have excellent communication and collaboration skills -- you'll be partnering across the entire company - Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also: - Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems - Have experience operating large-scale model serving or training infrastructure (>1000 GPUs) - Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium) - Understand ML-specific networking optimizations like RDMA and InfiniBand - Have expertise in AI-specific observability tools and frameworks - Have experience with chaos engineering and systematic resilience testing - Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Develop and maintain risk applications using Java, Python, and Angular while collaborating with cross-functional teams. Translate business requirements into software solutions and ensure adherence to enterprise standards in cloud environments.